Overload of in-vehicle information and emergence of new interfaces such as touchscreens have increased the complexity of driver-vehicle interaction. Nevertheless, studies on the complexity of the vehicle environment remain at an early stage compared to other safety critical domains. Therefore, in this study, we propose a conceptual framework for applying the concept of complexity to the vehicle environment, especially for the touchscreen-based interaction. In this study, we investigated the concept of complexity in the HMI field and design variables of touch interfaces. Based on the previous works, the we defined four types of complexity: interface complexity, interaction complexity, perceived complexity and mediate complexity. The measures for evaluating each complexity type were also suggested. The results of this study can be helpful in designing in-vehicle touch interfaces in terms of complexity.
|Title of host publication||HCI in Mobility, Transport, and Automotive Systems. Automated Driving and In-Vehicle Experience Design - 2nd International Conference, MobiTAS 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings|
|Number of pages||9|
|Publication status||Published - 2020|
|Event||2nd International Conference on HCI in Mobility, Transport, and Automotive Systems, MobiTAS 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020 - Copenhagen, Denmark|
Duration: 2020 Jul 19 → 2020 Jul 24
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Conference||2nd International Conference on HCI in Mobility, Transport, and Automotive Systems, MobiTAS 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020|
|Period||20/7/19 → 20/7/24|
Bibliographical noteFunding Information:
This work is financially supported by Korea Ministry of Land, Infrastructure and Transport(MOLIT) as ?Innovative Talent Education Program for Smart City?. This research was partially supported by the Graduate School of YONSEI University Research Scholarship Grants in 2019.
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)